FelixHo/Text-Classification-Benchmark
文本分类基准测试
This project provides a benchmark for text classification, helping you understand how different machine learning algorithms perform on a balanced dataset of Chinese news and academic texts. It takes pre-segmented Chinese text, each labeled with a category, and outputs performance metrics like precision, recall, and F1-score for various classification models. This tool is useful for data scientists or researchers who need to compare the effectiveness of different text classification approaches.
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Use this if you need a quick comparison of common text classification algorithms on Chinese text data, especially if you're working with news or academic content.
Not ideal if your data is in a language other than Chinese, not pre-segmented, or requires custom feature engineering or hyperparameter tuning beyond the default settings.
Stars
25
Forks
9
Language
Python
License
MIT
Category
Last pushed
Mar 29, 2018
Commits (30d)
0
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